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Confidence distribution
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21	Volume 43 • Issue 4 IMS Bulletin June/July 2014 Add to Reading List Source URL: bulletin.imstat.org Language: English - Date: 2014-05-15 13:56:09 Statistical inference Institute of Mathematical Statistics Bayesian inference Normal distribution Bayesian probability Dennis Lindley Confidence interval Chung Kai-lai
22	Crowd Mining Yael Amsterdamer Yael Grossman Tova Milo Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2013-04-11 12:18:56 Statistical inference Summary statistics Confidence interval Econometrics Measurement Psephology Normal distribution Association rule learning Statistical hypothesis testing Probability distribution Wisdom of the crowd Sample size determination
23	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Data-Driven Anytime Algorithms for Motion Planning with Safety Guarantees Jha, D.; Zhu, M.; Wang, Y.; Ray, A. Add to Reading List Source URL: www.merl.com Language: English - Date: 2016-07-07 10:54:20 Statistical inference Econometrics Computational statistics Estimation theory Normal distribution Kalman filter Bootstrapping Regression analysis Statistics Expected value Confidence interval Least squares
24	CrowdMiner: Mining association rules from the crowd Yael Amsterdamer1 , Yael Grossman1 , Tova Milo1 , and Pierre Senellart2 1 2 Tel Aviv University Add to Reading List Source URL: www.cs.tau.ac.il Language: English - Date: 2013-08-22 07:12:29 Data mining Association rule learning Data management Confidence interval Normal distribution
25	QoE beyond the MOS: Added Value Using Quantiles and Distributions Tobias Hoßfeld∗ , Poul E. Heegaard† , Martin Varela‡ ∗ University of Duisburg-Essen, Modeling of Adaptive Systems, Essen, Germany Add to Reading List Source URL: www.cnl.fi Language: English - Date: 2015-09-16 03:33:44 Digital television Marketing Quality of experience Codecs Probability distributions Quantile Mean opinion score Subjective video quality Normal distribution MOS Confidence interval Entropy
26	Populations & samples Populations & samples Add to Reading List Source URL: zipfr.r-forge.r-project.org Language: English - Date: 2008-11-10 18:29:37 Statistical inference Survey methodology Sampling Estimation theory Statistics Confidence interval Probability distribution Parameter Variance Survey sampling
27	JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-03 17:28:19 Statistical classification Machine learning Linear classifier Precision and recall Support vector machine Binary classification F1 score Supervised learning Classifier Probability distribution
28	Occupancy modeling of Black-backed Woodpeckers on burned Sierra Nevada forests JAMES F. SARACCO, RODNEY B. SIEGEL, AND Add to Reading List Source URL: www.birdpop.org Language: English - Date: 2015-02-27 22:35:09 Statistical inference Survey methodology Picoides Woodpeckers Probability distribution Black-backed woodpecker Coverage probability Sampling Statistics Confidence interval Mode
29	Efficient Evaluation of Classification and Recognition Systems Ross J. Micheals Terrance E. Boult Vision and Software Technology (VAST) Lab Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2003-12-24 21:58:14 Statistical inference Sampling Resampling Summary statistics Monte Carlo methods Balanced repeated replication FERET Normal distribution Stratified sampling Confidence interval Principal component analysis Bootstrapping
30	Online Aggregation for Large MapReduce Jobs Niketan Pansare1 , Vinayak Borkar2 , Chris Jermaine1 , Tyson Condie3 1 Rice University, 2 UC Irvine, 3 Yahoo! Research Add to Reading List Source URL: asterixdb.ics.uci.edu Language: English - Date: 2013-06-06 15:43:58 Parallel computing Summary statistics Econometrics Estimation theory Statistical inference MapReduce Data-intensive computing Gamma distribution Apache Hadoop Confidence interval Bayes estimator Mode

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